4.7 Article

The role of iron-based nanoparticles (Fe-NPs) on methanogenesis in anaerobic digestion (AD) performance

期刊

ENVIRONMENTAL RESEARCH
卷 204, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.envres.2021.112043

关键词

Anaerobic digestion; Methanogenesis; Iron nanoparticles (Fe-NPs); Gene transfer

资金

  1. Universiti Malaysia Pahang (UMP) [RDU190332]

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The use of iron-based nanoparticles (Fe-NPs) is considered an effective approach to enhance methanogenesis and biogas yield in the anaerobic digestion (AD) process. Iron-based NPs can enhance microbial activity, minimize inhibition effects, and promote direct interspecies electron transfer, ultimately improving CH4 production rates in AD. Further studies are needed to explore effective and optimized NPs-based methods in the methanogenesis stage.
Several strategies have been proposed to improve the performance of the anaerobic digestion (AD) process. Among them, the use of various nanoparticles (NPs) (e.g. Fe, Ag, Cu, Mn, and metal oxides) is considered one of the most effective approaches to enhance the methanogenesis stage and biogas yield. Iron-based NPs (zero-valent iron with paramagnetic properties (Fe0) and iron oxides with ferromagnetic properties (Fe3O4/Fe2O3) enhance microbial activity and minimise the inhibition effect in methanogenesis. However, comprehensive and up-to-date knowledge on the function and impact of Fe-NPs on methanogens and methanogenesis stages in AD is frequently required. This review focuses on the applicative role of iron-based NPs (Fe-NPs) in the AD methanogenesis step to provide a comprehensive understanding application of Fe-NPs. In addition, insight into the interactions between methanogens and Fe-NPs (e.g. role of methanogens, microbe interaction and gene transfer with Fe-NPs) beneficial for CH4 production rate is provided. Microbial activity, inhibition effects and direct interspecies electron transfer through Fe-NPs have been extensively discussed. Finally, further studies towards detecting effective and optimised NPs based methods in the methanogenesis stage are reported.

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